{"product_id":"labeling-problems-with-smoothness-based-priors-in-computer-vision-von-shifeng-chen","title":"Labeling Problems with Smoothness-Based Priors in Computer Vision","description":"\u003cp\u003eMany applications in computer vision can be  formulated as labeling problems of assigning each  pixel a label where the labels represent some local  quantities. To improve results of these labeling  problems, smoothness-based priors can be enforced  in the formulations.Such labeling problems with  smoothness-based priors can be solved by minimizing  a Markov energy. According to different definitions  of the energy functions, different optimization  tools can be used to obtain the results. In this  book, three optimization approaches are used due to  their good performance: graph cuts, belief  propagation, and optimization with a closed form  solution. Five algorithms in different applications  are proposed in this book. All of them are  formulated as smoothness based labeling problems,  including single image segmentation, video object  cutout, image\/video completion, image denoising,  and image matting. This book should be especially  useful to professionals in computer vision fields.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783843376426\"\u003e\u003ch3\u003eFormulations, Optimizations and Applications\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783843376426","offer_id":39497104883805,"sku":"9783843376426","price":59.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/88ff166a-bc11-4fdb-ba63-e4943621f2e6.jpg?v=1756186796","url":"https:\/\/shop.autorenwelt.de\/en\/products\/labeling-problems-with-smoothness-based-priors-in-computer-vision-von-shifeng-chen","provider":"Autorenwelt Shop","version":"1.0","type":"link"}